Inverse-Gaussian Inputs and the Hurst Effect | ||||
| The Egyptian Statistical Journal | ||||
| Article 3, Volume 33, Issue 2, December 1989, Page 187-198 | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/esju.1989.316536 | ||||
 View on SCiNiTO | ||||
| Author | ||||
| M. Gharib | ||||
| Abstract | ||||
| In this paper the inverse-Gaussian distribution is investigated as a possible theoretical model to Hurst's empirical law. The achieved results show that this model is more consistent with Hurst's law than the normal and gamma distributions models investigated by Anis and Lloyd [2]. Moreover, the results of the normal distribution model follow as a special case from the present results. | ||||
| Keywords | ||||
| Consistency; Empirical Law; Gamma Distributions; Hurst Effect; Inverse-Gaussian Distribution; Normal Distribution; Theoretical Model | ||||
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Statistics Article View: 21 |
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